Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
OpenAI currently has 235 active AI-related job listings. The majority of these roles are in the application stage, accounting for 32% of the total, followed closely by the agents stage at 29%. The dominant function for hiring is Engineering, with 168 positions. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, OpenAI posted 50 new AI roles, representing a 14% increase compared to the previous 30-day period.
OpenAI currently has 254 active AI-related roles in our index. The most common open titles are: AI Deployment Engineer (4), Partner AI Deployment Engineer - AWS (4), AI Deployment Engineer - Startups (3), AI Deployment Engineer- Codex (3), AI Deployment Engineer, Startups (2). Most positions are in Engineering and Research.
OpenAI's active AI hiring is concentrated in: application (33%), agents (28%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenAI is hiring AI talent in: United States (203 roles), United Kingdom (14 roles), Japan (6 roles), Germany (5 roles).
Job postings at OpenAI most frequently reference: model serving, agent orchestration, evals, llm observability, inference infra.
In the past 30 days, OpenAI has posted 56 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, RL Training Infra Software Engineer focused on the infrastructure and engineering challenges of large-scale reinforcement learning training for frontier AI agents, including scaling, orchestration, inference, and reliability, with a secondary focus on agentic capabilities like multi-agent systems and memory. | Post-trainAgent | 9 |
| Machine Learning Engineer, API Multicloud Machine Learning Engineer to build and improve AI systems for strategic partners adapting OpenAI models to cloud-native environments. This role involves post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration, focusing on customizing and deploying models safely and reliably. | Post-train |
| 9 |
| Machine Learning Engineer, Integrity Machine Learning Engineer on the Integrity team at OpenAI, focused on defending against adversarial threats and misuse of AI platforms. The role involves designing, deploying, and optimizing ML models for content understanding and abuse prevention, working with researchers and engineers to turn research into tangible solutions, and ensuring the trust and safety of the platform. | Post-trainServe | 9 |
| TLM, Machine Learning, Integrity OpenAI's Integrity team, within Applied Engineering, is seeking an experienced Engineering Manager (Web Safety) to lead a team of senior Machine Learning Engineers. The role involves architecting and building next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies. The team uses state-of-the-art models to detect and prevent problematic content, establishing robust evaluation frameworks and metrics. The role also includes managing and mentoring the team, and collaborating with Research, Safety, Product, and Policy teams. | Post-trainServe | 9 |
| Software Engineer, Post-Training Research Software Engineer focused on post-training research, building tooling and evaluation systems for researchers to prepare models for deployment in products like ChatGPT and the API. The role involves rapid prototyping, refactoring codebases, and designing experiment systems. | Post-train | 8 |